Martin Lauer
Impact in
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
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- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
Papers in
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- Video Surveillance and Tracking Methods 18
- Advanced Vision and Imaging 15
- Image and Object Detection Techniques 9
- Robotic Path Planning Algorithms 9
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- Autonomous Vehicle Technology and Safety 26
- Co-authors
- Christoph StillerMartin RiedmillerThomas SattelmayerAndreas GeigerRaquel UrtasunEike RehderChristian WojekWei Tian
- Journals
- IEEE Transactions on Intelligent Transportation Systems (5 papers)Journal of Engineering for Gas Turbines and Power (3 papers)Behaviour (1 paper)Cognitive Systems Research (1 paper)Sensors (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Martin Lauer
90 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 100
- Automotive Engineering 583
- Computer Vision and Pattern Recognition 938
- Fluid Flow and Transfer Processes 208
- Aerospace Engineering 635
- Geology 140
Countries citing papers authored by Martin Lauer
This map shows the geographic impact of Martin Lauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Lauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lauer more than expected).
Fields of papers citing papers by Martin Lauer
This network shows the impact of papers produced by Martin Lauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Lauer. The network helps show where Martin Lauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Lauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 5 | |
| 8 | 2018 | 79 | |
| 9 | 2018 | 34 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2016 | 1 | |
| 14 | 2015 | 14 | |
| 15 | 2013 | 4 | |
| 16 | Determination of the Heat Release Distribution in Turbulent Flames by Chemiluminescence Imaging | 2011 | 15 |
| 17 | Reinforcement Learning in a Nutshell | 2007 | 12 |
| 18 | 2006 | 22 | |
| 19 | 2004 | 16 | |
| 20 | An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems | 2000 | 230 |
About Martin Lauer
Martin Lauer is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Environmental Engineering, Aerospace Engineering and Geology, having authored 96 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (26 papers), Robotics and Sensor-Based Localization (21 papers), Video Surveillance and Tracking Methods (18 papers), Remote Sensing and LiDAR Applications (16 papers), Advanced Vision and Imaging (15 papers), Combustion and flame dynamics (10 papers), Image and Object Detection Techniques (9 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Automotive Engineering (583 citations), Computer Vision and Pattern Recognition (938 citations), Fluid Flow and Transfer Processes (208 citations), Aerospace Engineering (635 citations) and Geology (140 citations). Martin Lauer has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Christoph Stiller, Martin Riedmiller, Thomas Sattelmayer, Andreas Geiger, Raquel Urtasun, Eike Rehder, Christian Wojek, Wei Tian, Long Chen and Julius Kümmerle. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Engineering for Gas Turbines and Power, Behaviour, Cognitive Systems Research and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.